Please note that `rememberizer-mcp-ea-ck` is currently in development and the functionality may be subject to change.
Please note that rememberizer-mcp-ea-ck is currently in development and the functionality may be subject to change. That is what the rememberizer mcp ea ck mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 4 tools. What each one is for:
Input — - match_this (string): Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledgeReturns — Search results as text outputResources — The server provides access to two types of resources: Documents or Slack discussionsTools — The Tools tool exposed by this serverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the team communication options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Rememberizer MCP Ea Ck's toolset — Input, Returns, Resources and 1 more — is a fair guide to whether it matches your workflow. It is maintained by skydeckai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Rememberizer MCP Ea Ck's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Input | - match_this (string): Up to a 400-word sentence for which you wish to find semantically similar chunks of knowledge |
| Returns | Search results as text output |
| Resources | The server provides access to two types of resources: Documents or Slack discussions |
| Tools | The Tools tool exposed by this server. |
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["rememberizer-mcp-ea-ck"]
},
}Configuration as documented by the project. Restart the client after saving.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Inbox intelligence — search, read, draft and send Gmail through your assistant with OAuth auto-setup.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Read and send Telegram messages through your assistant — chats, channels and history via the client API.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.